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2020 – today
- 2024
[c2]Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner:
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. WACV 2024: 7931-7940- [i6]Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Pokkalla, Andrew H. Beck, Sean Grullon:
PLUTO: Pathology-Universal Transformer. CoRR abs/2405.07905 (2024) - [i5]Nhat Le, Ciyue Shen, Chintan Shah, Blake Martin, Daniel Shenker, Harshith Padigela, Jennifer A. Hipp, Sean Grullon, John Abel, Harsha Pokkalla, Dinkar Juyal:
Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities. CoRR abs/2407.10785 (2024) - 2023
- [i4]Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner:
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology. CoRR abs/2303.13405 (2023) - [i3]Sai Chowdary Gullapally, Yibo Zhang, Nitin Kumar Mittal, Deeksha Kartik, Sandhya Srinivasan, Kevin Rose, Daniel Shenker, Dinkar Juyal, Harshith Padigela, Raymond Biju, Victor Minden, Chirag Maheshwari, Marc Thibault, Zvi Goldstein, Luke Novak, Nidhi Chandra, Justin Lee, Aaditya Prakash, Chintan Shah, John Abel, Darren Fahy, Amaro Taylor-Weiner, Anand Sampat:
Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology. CoRR abs/2305.02401 (2023) - 2022
- [c1]Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash:
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology. NeurIPS 2022 - [i2]Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash:
Additive MIL: Intrinsic Interpretability for Pathology. CoRR abs/2206.01794 (2022)
2010 – 2019
- 2019
- [i1]Harshith Padigela, Hamed Zamani, W. Bruce Croft:
Investigating the Successes and Failures of BERT for Passage Re-Ranking. CoRR abs/1905.01758 (2019)
Coauthor Index
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